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ShareScore release 0.9.0
Dataset results
4 results for “Trainset”
French trainset for chatbots dealing with usual requests on bank cards
<p><strong>[EN] French training dataset for chatbots dealing with usual requests on bank cards.</strong></p> <ul> <li><strong>Description</strong>: This dataset represents examples of common customer requests relating to bank cards management. It can be used as a training set for a small chatbot intended to process these usual requests.</li> <li><strong>Content</strong>: The questions are asked in French. The dataset is divided into 10 intents of 100 questions each, for a total of 1 000 questions.</li> <li><strong>Intents scope</strong>: Intents are constructed in such a way that all questions arising from the same intention have the same response or action. The scope covered concerns: loss or theft of cards; the swallowed card; the card order; consultation of the bank balance; insurance provided by a card; card unlocking; virtual card management; management of bank overdraft; management of payment limits; management of contactless mode.</li> <li><strong>Origin</strong>: Intents scope is inspired by a chatbot currently in production, and the wording of the questions are inspired by the usual customers requests.</li> </ul> <p><br> <strong>[FR] Jeu d'entraînement en français d'assistants conversationnels traitant des demandes courantes sur les cartes bancaires.</strong></p> <ul> <li><strong>Description </strong>: Cet ensemble de données représente des exemples de demandes usuelles des clients concernant la gestion des cartes bancaires. Il peut être utilisé comme jeu d'entraînement pour un assistant conversationnel destiné à traiter ces demandes courantes.</li> <li><strong>Contenu </strong>: Les questions sont formulées en français. L'ensemble de données est divisé en 10 intentions de 100 questions chacune, pour un total de 1 000 questions.</li> <li><strong>Périmètre des intentions</strong> : Les intentions sont construites de telle manière que toutes les questions issues d'une même intention ont la même réponse ou action. Le périmètre couvert concerne : la perte ou le vol de cartes ; la carte avalée ; la commande des cartes ; la consultation du solde bancaire ; l'assurance fournie par une carte ; le déverrouillage de la carte ; la gestion de cartes virtuelles ; la gestion du découvert bancaire ; la gestion des plafonds de paiement ; la gestion du mode sans contact.</li> <li><strong>Origine </strong>: Le périmètre des intentions est inspiré par un chatbot actuellement en production, et la formulation des questions est inspirée de demandes courantes de clients.</li> </ul>
RDP taxonomic training data formatted for DADA2 (RDP trainset 16/release 11.5)
<p>These DADA2-formatted training fasta files were derived from the Ribosomal Database Project's Training Set 16 and the 11.5 release of the RDP database.</p> <p>These fastas were generated by the following commands (using the dada2 R package version 1.5.1):</p> <blockquote> <p>path <- "~/Desktop/RDP/RDPClassifier_16S_trainsetNo16_rawtrainingdata"<br> dada2:::makeTaxonomyFasta_RDP(file.path(path, "trainset16_022016.fa"), file.path(path, "trainset16_db_taxid.txt"), "~/tax/rdp_train_set_16.fa.gz")</p> <p>dada2:::makeSpeciesFasta_RDP("~/Desktop/RDP/current_Bacteria_unaligned.fa", "~/tax/rdp_species_assignment_16.fa.gz")</p> </blockquote>
VsLFM-master demo trainset
<p>Training set for VsLFM-master (https://github.com/THU-IBCS/VsLFM-master)</p>
RDP taxonomic training data formatted for DADA2 (RDP trainset 18/release 11.5)
<p>These DADA2-formatted training fasta files were derived from the Ribosomal Database Project's Training Set 18 and the 11.5 release of the RDP database.</p> <p>These fastas were generated by the following commands (using the dada2 R package version 1.19.1):</p> <blockquote> <p>## The RDP trainset data was downloaded from: https://sourceforge.net/projects/rdp-classifier/files/RDP_Classifier_TrainingData/<br> path <- "~/Desktop/RDP/RDPClassifier_16S_trainsetNo18_rawtrainingdata"<br> dada2:::makeTaxonomyFasta_RDP(file.path(path, "trainset18_062020.fa"), <br> file.path(path, "trainset18_db_taxid.txt"), <br> "~/tax/rdp_train_set_18.fa.gz")<br> ## Download "ten_16s.100.fa" from Robert Edgar's taxonomy testing page: https://drive5.com/taxxi/doc/fasta_index.html<br> dada2:::tax.check("~/tax/rdp_train_set_18.fa.gz", "~/Desktop/ten_16s.100.fa")</p> <p>## This function creates the dada2 assignSpecies fasta file for the RDP from the RDP's _Bacteria_unaligned.fa file.<br> dada2:::makeSpeciesFasta_RDP("~/Desktop/RDP/current_Bacteria_unaligned.fa", "~/tax/rdp_species_assignment_18.fa.gz")<br> dada2:::tax.check("~/tax/rdp_species_assignment_18.fa.gz", "~/Desktop/ten_16s.100.fa", mode="species")</p> </blockquote>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.